Learning Objectives - In this module, you should learn about Time Series data, different component of Time Series data, Time Series modeling - Exponential Smoothing models and ARIMA model for Time Series Forecasting.

Topics:

What is Time Series data?

Time Series variables

Different components of Time Series data

Visualize the data to identify Time Series Components

Implement ARIMA model for forecasting

Exponential smoothing models

Identifying different time series scenario based on which different Exponential Smoothing model can be applied

Learning Objectives - Get introduced to the concepts of Reinforcement learning and Deep learning in this module. These concepts are explained with the help of Use cases. You will get to discuss Artificial Neural Network, the building blocks for Artificial Neural Networks, and few Artificial Neural Network terminologies.

Data science is an evolutionary step in interdisciplinary fields like the business analysis that incorporate computer science, modelling, statistics and analytics. To take complete benefit of these opportunities, you need a structured training with an updated curriculum as per current industry requirements and best practices.

Besides strong theoretical understanding, you need to work on various real-life projects using different tools from multiple disciplines to gather a data set, process and derive insights from the data set, extract meaningful data from the set, and interpret it for decision-making purposes.

Additionally, you need the advice of an expert who is currently working in the industry tackling real-life data-related challenges.

Data Science Training will help you become a Data Science Expert. It will hone your skills by helping you to understand and analyze actual phenomena with data and provide the required hands-on experience for solving real-time industry-based projects.

During this Data Science course, you will be trained by our expert instructors to:

The market for Data Analytics is growing across the world and this strong growth pattern translates into a great opportunity for all the IT Professionals. Our Data Science Training helps you to grab this opportunity and accelerate your career by applying the techniques on different types of Data. It is best suited for:

Developers aspiring to be a 'Data Scientist'

Analytics Managers who are leading a team of analysts

Business Analysts who want to understand Machine Learning (ML) Techniques

Information Architects who want to gain expertise in Predictive Analytics

There is no specific pre-requisite for Data Science Training. However, a basic understanding of R can be beneficial. Edureka offers you a complimentary self-paced course, i.e. "R Essentials" when you enroll in Data Science Training.

I took Data Science Course from Edureka. I would like to extend my appreciation for the amazing support given by Edureka Team.
It only goes to show how dedicated they are in wanting to achieve the best for the learning professionals.The training met
its goals.The Hard work of Trainer's and support were paid off and I am truly grateful learning from Edureka.

Gnana Sekhar Vangara Technology Lead at WellsFargo.com

Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best.

Bhairav Mehta Senior Program Manager at Apple

Edureka is a revolution in Big Data training. I have taken 5 courses through Edureka from Hadoop, R, Data Science and Python. They have perfect material prepared professionally by highly qualified professionals and their Learning management system is very resourceful. All the links and virtual machines work well and well designed. Instructors for the courses are very well selected. They are very responsive to their customer needs and responds within minutes to questions. They have redefined big data learning for me and I am a loyal customer of Edureka. They keep innovating and add newer courses every month.

Rob Murphy Information Architect at SPINS, Greater Denver Area

I think the course is doing an excellent job of giving a comprehensive understanding of each topic and putting emphasis on the most important question such as when do we choose a particular technique with Hadoop to solve a problem etc.

Janardhan Singamaneni Principal Data Engineer at Staples

I took kafka and datascience classes with EDUREKA and its overall nice. After thorough scanning of available online courses, I decided to go with edureka and am quite satisfied with it. To start with the Sales and support team- they were fantastic- really fast and responsive. There was never any technical issue like audio/video/connectivity during the course which is good. The classes were very smooth.The instructors were really good and deliverd the course content very well. They had very good theoretical and practical knowledge of the respective courses. Great Job! Thanks for the learning experience! Keep it up!!!

Senthil Nagarajan K Founder, PlanAlchemy, San Francisco

Course instructor was very knowledgeable, and handled the class very well in terms of making it interactive, keeping it interesting, and responding to all questions from students.

Akhila Ganti Team Lead, Marketing Applications at Robert Half

The course was really helpful to me to understand as a beginner to Data Science. The instructor is so knowledgeable and patient, explaining many questions, that helped clarify many concepts. I intend to continue pursuing this area of Data Science and Machine learning algorithms. Thank you!

The detailed step by step installation guides will be present in your LMS which will help you to install and set-up the required environment. In case you come across any doubt, the 24*7 support team will promptly assist you.

Edureka's Data Science Training includes real-time industry-based projects, which will hone your skills as per current industry standards and prepare you for the upcoming Data Scientist roles.

Project#1: Movies Collection

Industry: Entertainment Industry

Description: The goal of this Use-Case is to explore the movie dataset, given the parameters like: "duration", "movie title", "gross collection", "budget", "title year", etc. You will explore the following:

Know top ten movies with the highest profits.

Know top rated movies in the list and average IMDB score.

Plot a graphical representation to show the number of movies released each year.

Group the movies into clusters based on the Facebook likes.

Group the directors based on movie collection and budget.

Project #2: Real Estate Price Prediction

Industry: Business Intelligence and Analytics

Description: The goal of this Use-case is to make predictions using Real Estate market data. The dataset contains the of the price of apartments in Boston. This data contains values such as "crime rate", "age", "accessibility", "population" etc. Based on this data, decide on the price of new apartments.

Project #3: Diabetes Prediction

Industry: Healthcare

Description: The Use-Case focuses on making predictions based on the patient’s characteristic data set, the dataset contains attributes such as "glucose level", "blood pressure", "age" etc. At last, the goal is to make a high accuracy machine learning model to predict, whether a patient is Diabetic or not.

Project #4: Recommendation System for Grocery Store

Industry: Food Retail Industry

Description: The Use-Case scenario is to create recommendations for customers of a grocery store based upon historical transaction data, which could recommend preferable articles.

Project #5: Twitter Analytics

Industry: Social Media Analytics

Description: This Use-Case focuses on social media analytics. The problem can be defined as Measuring, Analyzing, and Interpreting interactions and associations between people, topics and ideas. The dataset to be analyzed is captured by Live Twitter Streaming. You have to do the following:

Perform Sentiment analysis on the tweets obtained and visualize the conclusions.

Compare two football clubs, based on the tweets they are receiving from their fans.

Project #6: Air Passengers Forecasting

Industry: Commercial Aviation

Description: This Use-Case is about analyzing the data and applying time series model to forecast the number of bookings an Airline firm can expect each month. The dataset we will analyze contains monthly totals of international airline passengers between 1949 to 1960.You have to make informed decisions on staffing, hospitality and pricing for tickets.

To help you in this endeavor, we have added a resume builder tool in your LMS. Now, you will be able to create a winning resume in just 3 easy steps. You will have unlimited access to use these templates across different roles and designations. All you need to do is, log in to your LMS and click on the "create your resume" option.

We have limited number of participants in a live session to maintain the Quality Standards. So, unfortunately participation in a live class without enrolment is not possible. However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in the class.

All the instructors at Edureka are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by Edureka for providing an awesome learning experience.

For payments done using credit cards, to make this a No Cost EMI offer, the interest amount will be discounted from the price of the course. Your card will be charged for the course price minus the discounted interest. The total amount you will pay to the bank (excluding GST) will be equal to the price of the course. The bank will charge GST on the interest amount. For payments done using Razor Pay EMI, the price will not be discounted upfront. Instead, you will not be charged any interest for a No Cost EMI offer.

Checkout our Data Scientist Masters Program

Data Science Masters Program makes you proficient in tools and systems used by Data Science Professionals. It includes training on Statistics, Data Science, Python, Apache Spark & Scala, Tensorflow and Tableau. The curriculum has been determined by extensive research on 5000+ job descriptions across the globe.